3D-ShuffleViT: An Efficient Video Action Recognition Network with Deep Integration of Self-Attention and Convolution

3D-ShuffleViT: An Efficient Video Action Recognition Network with Deep Integration of Self-Attention and Convolution

Compared with traditional methods, the action recognition model based on 3D convolutional deep neural network captures spatio-temporal features more accurately, resulting in higher accuracy. However, the large number of parameters and computational requirements of 3D models make it difficult to depl...

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Bibliographic Details
Main Authors: Yinghui Wang, Anlei Zhu, Haomiao Ma, Lingyu Ai, Wei Song, Shaojie Zhang
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Mathematics
Subjects:
lightweight networks
3D convolution
self attention
edge device
Online Access:https://www.mdpi.com/2227-7390/11/18/3848

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